What should students learn in the 21 century? · Presentation: Algorithmic & Robotics progress...
Transcript of What should students learn in the 21 century? · Presentation: Algorithmic & Robotics progress...
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© Charles Fadel – All Rights Reservedwww.curriculumredesign.org
What should students learn
in the 21st century?
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© Charles Fadel – All Rights Reserved
International
organizations
Academia
Corporations
Foundations
& Non-Profits
Coalition of key global players
Jurisdictions
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© Charles Fadel – All Rights Reserved
Roger Schank’s view
CCR’s focus is “What”, and the interplay with “How”
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© Charles Fadel – All Rights Reserved
Knowledge
Character
Skills
F
U
T
U
R
E
S
LEARNING
SCIENCES
CURRICULUM
WHAT
CCR’s Approach (1)
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© Charles Fadel – All Rights Reserved
Knowledge
Character
Skills
F
U
T
U
R
E
S
Learning
Sciences
CURRICULUM
WHAT
Pedagogy &
Practices
HOW
CCR’s Approach (2)
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8:30 – 9:30 Introductions, welcome, setting the stage - CCR and goals – Charles Fadel
Presentation: Algorithmic & Robotics progress - Charles Fadel
9:30 – 10:30 Presentation: Education Futures 2020 - Jillian Darwish
Break
10:45 – 12:15 Presentation: “Machine Creativity” – consequences? - Robert Plotkin, and
conversation
Lunch
1:00 – 2:00 Group discussion: Human consequences of “Big Data”
2:00 – 3:00 Group activity: Futurists table review – 2 groups
Break
3:15 – 4:30 Group activity: Futurists table review – 2 groups (continued)
4:30 – 5:00 Group activity: review the groups’ results - all participants
5:00 – 6:00 Group activity: What are good examples of Integrative STEM Disciplines?
(Robotics, Synthetic Biology, etc.)
Agenda - Thursday
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Agenda - Friday
8:30 – 9:15 Aggregate, breakfast, review past day, discuss how to
proceed
9:15 – 10:45 Group activity: Futurists table – top section; joint
conversation including visualization options
Break
11:00-12:00 Group activity: Debate - Can formal systems catch up?
What if they cannot ??
Meeting
Conclusion
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Views & Assumptions
• Our horizon: 2020-2040
• Education systems can actually adapt and
catch up (which will be debated)
• Add more assumptions here during the day:
A)
B)
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improving supplementing
reinventing New
paradigm
Exi
stin
g P
rovid
ers
Ne
w
En
tra
nts
Formal Learning Informal Learningdigital
technologies
learner
ownership
Source: Innovation Unit
Our Locus ?
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Key questions to explore
• Is A.I./Robotics/automation the biggest technology disruptor (for employment) in the imminent future? (compared to BioTech and Neuroscience)– Can we plot its evolution and thresholds? (algorithms and robotics in
particular?)
– Longer-term, what is the impact of machine creativity?
– Will it spur an arms-race for human augmentation?
• What are the negative consequences of Big Data/decision analytics?– Wisdom: Will we need a “do not watch” list?
– Desensitization to observation, allowing “big brotherism”?
– “Echo chamber” effects, polarizing opinions?
• Of STEM, we typically only teach S&M; What are the Technology and Engineering topics that should be taught in K-12? are there “Integrative Disciplines” (Robotics, Programming, etc.) that are multi-disciplinary ?
• Design review of CCR’s white paper and decision table for education systems
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Let’s Be Our Versatile Selves
Open-minded and open-hearted
Global and altruistic
Candid and respectful
Thorough yet concise
Deep and broad
Joyful and humorous
"The important thing is… to be able at any moment to
sacrifice what we are for what we could become.“
Charles Du Bos
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Diving into ICT
Source: Aaron Kobler
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On the road to ExoBrain
Source: Hans Moravec
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Progress of Robotics
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High-speed manipulation - Videos
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Replace Workforce With Robots
Terry Guo, CEO of Foxconn, said last July that the Taiwan-
based manufacturing giant would add up to one million
industrial robots to its assembly lines inside of three
years.
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“The dancing salesman problem”
Source: Simon Colton, The Painting Fool
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Music Decomposition
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Example of Algorithmic progress
• Production planning model solved using linear programming:
– 1988: 82 years
– 2003: 1 minute
• A factor of roughly 43 million in 15 years
– ~1,000 due to increased processor speed,
– ~43,000 due to improvements in algorithms!
Source: Professor Martin Grötschel of Konrad-Zuse-Zentrum für Informationstechnik Berlin.
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Sequencing costs dropping faster than
Moore’s Law
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Drawing too
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Computerized Trading – Flash Crash
>2/3 of volume is now “high-speed trading”
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“Computers will write more than 90 percent of
news in 15 years, and will win a Pulitzer Prize
within 5 years.”
Kristian Hammond,
CTO and cofounder of Narrative Science,
a company that trains computers to write news stories.
Even Journalism ?
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Innovation follows patterns � automatable
Source: Invention Machine “IM Labs”
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Chess as example
• “Human strategic guidance combined with the tactical acuity of a computer was overwhelming.”
• “Weak human + machine + better process was superior to a strong computer alone and, more remarkably, superior to a strong human + machine + inferior process”
Source: Gary Kasparov, “The Chess Master and the Computer,” New York Review of Books, February 11, 2010
How about learning Processes?
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© Charles Fadel – All Rights ReservedSource: Eriko Horiki
So Let’s Think Together